社会网络与家庭财产差距--基于中国家庭追踪调查(CFPS)面板数据  

Social Network and Household Property Inequality in China——Based on the Panel Data of CFPS

作　　者：杨灿[1] 王辉[2] YANG Can;WANG Hui(Beijing Normal University,Beijing 100875;China University of Political Science and Law,Beijing 102249)

机构地区：[1]北京师范大学经济与工商管理学院,北京100875 [2]中国政法大学商学院,北京102249

出　　处：《经济与管理研究》2020年第4期88-101,共14页Research on Economics and Management

摘　　要：本文利用中国家庭追踪调查(CFPS)2010年和2016年面板数据分别进行OB分解和FFL分解,从禀赋效应和回报效应两个方面探讨社会网络对中国家庭净财产的影响。结果表明,2010年和2016年家庭净财产差异主要是由回报差异造成,且回报差异在总体上是显著的;2016年社会网络对各分位点上的家庭财产有显著正向影响,社会网络与家庭财产水平呈U型变化。另外,采用夏普利值分解考察社会网络对家庭财产差距的贡献率发现,社会网络对家庭财产差距的贡献度不断扩大,由2010年的0.66%上升到2016年的1.18%。This paper uses the panel data of China Family Panel Studies(CFPS)in 2010 and 2016 to adopt the OB decomposition and the FFL decomposition respectively,to explore the impact of social network on China's household net property from endowment effect and return effect.It was found that the difference in household net property in 2010 and 2016 was mainly caused by the difference in returns,and the difference in returns was generally significant.In 2016,the social network had a significant positive impact on the household property at each sub-point,and the social network and the level of household property showed a U-shaped change.In addition,the paper also uses the Shapley value method to investigate the contribution rate of social networks to the household property gap,finding that the contribution of social networks to the household property gap continued to expand,from 0.66%in 2010 to 1.18%in 2016.

关 键 词：社会网络 家庭财产差距 OB分解 FFL分解 RIF无条件分位数回归 夏普利值分解 

分 类 号：F08[经济管理—政治经济学]